An improved TOA model based on error correction and self-genetic algorithm

doi:10.23940/ijpe.18.10.p13.23742383

	An improved TOA model based on error correction and self-genetic algorithm
	Wang, Xuyang; Wang, Yaxi; Dang, Zhongkai; Pei, Hongmei; Zhang, Long
刊名	International Journal of Performability Engineering
	2018-10-01
卷号	14 期号:10 页码:2374-2383
关键词	Error correction Genetic algorithms Adaptive genetic algorithms Correction function Fast convergence speed Indoor positioning Localization errors Positioning accuracy Three-dimensional positioning Wireless communications
ISSN号	09731318
DOI	10.23940/ijpe.18.10.p13.23742383
英文摘要	In this paper, we propose an improved TOA model in the indoor three-dimensional positioning of wireless communication base station. By adding an error correction function to the existing TOA location model, the search domain of solutions is narrowed down. In addition, we design an adaptive genetic algorithm to solve the objective function. The simulation results further demonstrate that the proposed algorithm can not only improve the positioning accuracy compared with the existing DTOA, but also has the characteristics of fast convergence speed and strong robustness. The average localization error of the model is only 1.4041m. © 2018 Totem Publisher, Inc. All rights reserved.
语种	英语
出版者	Totem Publishers Ltd
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/114166]
专题	材料科学与工程学院
作者单位	Computer and Communication College, Lanzhou University of Technology, Lanzhou; 730050, China
推荐引用方式 GB/T 7714	Wang, Xuyang,Wang, Yaxi,Dang, Zhongkai,et al. An improved TOA model based on error correction and self-genetic algorithm[J]. International Journal of Performability Engineering,2018,14(10):2374-2383.
APA	Wang, Xuyang,Wang, Yaxi,Dang, Zhongkai,Pei, Hongmei,&Zhang, Long.(2018).An improved TOA model based on error correction and self-genetic algorithm.International Journal of Performability Engineering,14(10),2374-2383.
MLA	Wang, Xuyang,et al."An improved TOA model based on error correction and self-genetic algorithm".International Journal of Performability Engineering 14.10(2018):2374-2383.